import numpy as np
from numpy import nan, inf

add_legend_handle = [
  'Data',
  'Analysis.yoda.gz',
  '_Analysis.yoda.gz',
  '__Analysis.yoda.gz'
]

xpoints = {
                  'Data' : [3.110000e+00, 7.110000e+00, 1.390000e+01, 2.475000e+01, 6.585000e+01],
      'Analysis.yoda.gz' : [3.110000e+00, 7.110000e+00, 1.390000e+01, 2.475000e+01, 6.585000e+01],
     '_Analysis.yoda.gz' : [3.110000e+00, 7.110000e+00, 1.390000e+01, 2.475000e+01, 6.585000e+01],
    '__Analysis.yoda.gz' : [3.110000e+00, 7.110000e+00, 1.390000e+01, 2.475000e+01, 6.585000e+01],
}

xedges = {
                  'Data' : [2.000000e+00, 4.220000e+00, 1.000000e+01, 1.780000e+01, 3.170000e+01,
                            1.000000e+02],
      'Analysis.yoda.gz' : [2.000000e+00, 4.220000e+00, 1.000000e+01, 1.780000e+01, 3.170000e+01,
                            1.000000e+02],
     '_Analysis.yoda.gz' : [2.000000e+00, 4.220000e+00, 1.000000e+01, 1.780000e+01, 3.170000e+01,
                            1.000000e+02],
    '__Analysis.yoda.gz' : [2.000000e+00, 4.220000e+00, 1.000000e+01, 1.780000e+01, 3.170000e+01,
                            1.000000e+02],
}

ref_xerrs = [
  [abs(xpoints['Data'][i]   - xedges['Data'][i]) for i in range(len(xpoints['Data']))],
  [abs(xedges['Data'][i+1] - xpoints['Data'][i]) for i in range(len(xpoints['Data']))]
]

yvals = {
                  'Data' : [9.200000e-01, 3.580000e-01, 1.420000e-01, 6.500000e-02, 1.240000e-02],
      'Analysis.yoda.gz' : [9.768841e-01, 4.532565e-01, 1.693864e-01, 6.427812e-02, 1.478156e-02],
     '_Analysis.yoda.gz' : [9.737393e-01, 4.223427e-01, 1.705517e-01, 6.401749e-02, 1.663147e-02],
    '__Analysis.yoda.gz' : [4.898243e-01, 1.943594e-01, 8.449750e-02, 3.806591e-02, 8.605830e-03],
}

xerrs = {
                  'Data' : [
                              [1.110000e+00, 2.890000e+00, 3.900000e+00, 6.950000e+00, 3.415000e+01],
                              [1.110000e+00, 2.890000e+00, 3.900000e+00, 6.950000e+00, 3.415000e+01],
                           ],
      'Analysis.yoda.gz' : [
                              [1.110000e+00, 2.890000e+00, 3.900000e+00, 6.950000e+00, 3.415000e+01],
                              [1.110000e+00, 2.890000e+00, 3.900000e+00, 6.950000e+00, 3.415000e+01],
                           ],
     '_Analysis.yoda.gz' : [
                              [1.110000e+00, 2.890000e+00, 3.900000e+00, 6.950000e+00, 3.415000e+01],
                              [1.110000e+00, 2.890000e+00, 3.900000e+00, 6.950000e+00, 3.415000e+01],
                           ],
    '__Analysis.yoda.gz' : [
                              [1.110000e+00, 2.890000e+00, 3.900000e+00, 6.950000e+00, 3.415000e+01],
                              [1.110000e+00, 2.890000e+00, 3.900000e+00, 6.950000e+00, 3.415000e+01],
                           ],
}

yerrs = {
                  'Data' : [
                              [9.433981e-02, 3.361547e-02, 1.500000e-02, 7.211103e-03, 1.421267e-03],
                              [8.602325e-02, 3.106445e-02, 1.500000e-02, 6.403124e-03, 1.664332e-03],
                           ],
      'Analysis.yoda.gz' : [
                              [6.702934e-02, 2.927867e-02, 1.196739e-02, 5.401738e-03, 8.972893e-04],
                              [6.702934e-02, 2.927867e-02, 1.196739e-02, 5.401738e-03, 8.972893e-04],
                           ],
     '_Analysis.yoda.gz' : [
                              [8.025753e-02, 2.659054e-02, 1.333515e-02, 5.891319e-03, 9.586598e-04],
                              [8.025753e-02, 2.659054e-02, 1.333515e-02, 5.891319e-03, 9.586598e-04],
                           ],
    '__Analysis.yoda.gz' : [
                              [1.268207e-02, 5.817883e-03, 3.610846e-03, 1.728081e-03, 3.512589e-04],
                              [1.268207e-02, 5.817883e-03, 3.610846e-03, 1.728081e-03, 3.512589e-04],
                           ],
}

variation_yvals = {
}



# lists for ratio plot
ratio0_yvals = {
                  'Data' : [1.000000e+00, 1.000000e+00, 1.000000e+00, 1.000000e+00, 1.000000e+00],
      'Analysis.yoda.gz' : [1.061831e+00, 1.266080e+00, 1.192862e+00, 9.888942e-01, 1.192061e+00],
     '_Analysis.yoda.gz' : [1.058412e+00, 1.179728e+00, 1.201068e+00, 9.848845e-01, 1.341248e+00],
    '__Analysis.yoda.gz' : [5.324177e-01, 5.429034e-01, 5.950528e-01, 5.856294e-01, 6.940185e-01],
}

ratio0_yerrs = {
                  'Data' : [
                              [1.025433e-01, 9.389797e-02, 1.056338e-01, 1.109400e-01, 1.146183e-01],
                              [9.350354e-02, 8.677220e-02, 1.056338e-01, 9.850960e-02, 1.342203e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [7.285798e-02, 8.178399e-02, 8.427739e-02, 8.310366e-02, 7.236204e-02],
                              [7.285798e-02, 8.178399e-02, 8.427739e-02, 8.310366e-02, 7.236204e-02],
                           ],
     '_Analysis.yoda.gz' : [
                              [8.723645e-02, 7.427525e-02, 9.390951e-02, 9.063568e-02, 7.731127e-02],
                              [8.723645e-02, 7.427525e-02, 9.390951e-02, 9.063568e-02, 7.731127e-02],
                           ],
    '__Analysis.yoda.gz' : [
                              [1.378486e-02, 1.625107e-02, 2.542849e-02, 2.658586e-02, 2.832733e-02],
                              [1.378486e-02, 1.625107e-02, 2.542849e-02, 2.658586e-02, 2.832733e-02],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}